Web Scraping Pipelines That Keep Running
Large-scale web scraping, browser automation and scheduled data extraction delivered as clean APIs and dashboards.
What is broken today
- Competitor and pricing research done manually every week
- Scrapers that break and nobody notices for a month
- Raw data that never becomes a decision
What you get
- Resilient extraction with proxy and rate strategy
- Validation, deduplication and change detection
- Delivery via API, warehouse or scheduled report
- Alerting when a source structure changes
What actually breaks
Competitor pricing is gathered by a person with a folder of browser tabs, every Monday morning. It takes half a day, it covers the products someone remembered, and it is out of date before the meeting. Where a scraper exists, it was a script on a laptop; it broke when a class name changed, and the spreadsheet it feeds has been showing the same numbers ever since. Nobody noticed, because a stale number looks exactly like a current one.
How we build it
Fetching and parsing are separated. The fetch layer stores the raw response with its URL, status and timestamp; the parse layer runs against that store. When a site changes, we replay the new parser over historical responses instead of re-crawling, which turns a breakage into a fix rather than a re-collection. Requests use a proxy pool with per-domain concurrency and rate limits set below anything that would degrade the source. Validation runs on every batch: expected row counts, required fields, value ranges.
What goes wrong on these projects
Silent failure is the real risk, and it is almost never an exception. A page changes and the parser cleanly extracts the wrong element, so the pipeline reports success while the data is wrong, which is why range and count validation matters more than error handling. Blocking escalates with volume. And some sources are off limits under their terms or applicable law, so we check first and decline the ones that do not pass.
What changes after
Data arrives on a schedule, validated, with a timestamp and a source URL behind every row. Changes are highlighted rather than buried in a full export. When a source breaks, an alert fires the same day and the fix is a parser change instead of a lost month.
Before you ask
Can you handle sites requiring login or JS?
Yes. Foxquart uses headless browser automation with Playwright and Puppeteer to reach content behind a login or rendered by JavaScript, where the source's terms permit it. The sites that resist simple requests are usually the ones holding the pricing and competitor data worth having, so this is routine rather than exceptional.
How is the data delivered?
Foxquart delivers extracted data as any combination of REST API, direct database sync, S3 export or BI dashboard, so it arrives where decisions are already made. Validation and deduplication run before delivery. Raw data dumped into a folder never becomes a decision, which is why most scraping projects quietly stop being used.
Is web scraping legal?
Foxquart collects publicly available data, respects rate limits, works within the source's terms and documents the sources behind every pipeline. That documentation is what makes the collection defensible later. Where a source's terms do not permit extraction, we say so rather than route around it and hand you the risk.
What happens if a site blocks the scraper?
Foxquart plans for it. Extraction runs with a proxy and rate strategy rather than hammering a source until it blocks, and monitoring raises an alert when a block or structure change breaks a run. Patching is covered under the maintenance agreement instead of arriving as a surprise invoice.
How many sources can you extract from?
Foxquart builds web scraping at scale, with scheduled extraction pipelines, proxy and rate strategy, and deduplication across sources. The practical ceiling is usually the sources' own terms and rate limits rather than the pipeline, so schedules are designed around what a site permits rather than what a server could technically request.
What does a scraping project cost to run?
Foxquart quotes no fixed price, because source count, refresh frequency and delivery format decide it. Discovery is fixed price and settles those, then delivery is scoped per phase or on retainer, with maintenance covering monitoring and patching. Data intelligence work of this kind targets margin gains of 2–9%.
